Book Image

Hands-On High Performance Programming with Qt 5

By : Marek Krajewski
5 (1)
Book Image

Hands-On High Performance Programming with Qt 5

5 (1)
By: Marek Krajewski

Overview of this book

Achieving efficient code through performance tuning is one of the key challenges faced by many programmers. This book looks at Qt programming from a performance perspective. You'll explore the performance problems encountered when using the Qt framework and means and ways to resolve them and optimize performance. The book highlights performance improvements and new features released in Qt 5.9, Qt 5.11, and 5.12 (LTE). You'll master general computer performance best practices and tools, which can help you identify the reasons behind low performance, and the most common performance pitfalls experienced when using the Qt framework. In the following chapters, you’ll explore multithreading and asynchronous programming with C++ and Qt and learn the importance and efficient use of data structures. You'll also get the opportunity to work through techniques such as memory management and design guidelines, which are essential to improve application performance. Comprehensive sections that cover all these concepts will prepare you for gaining hands-on experience of some of Qt's most exciting application fields - the mobile and embedded development domains. By the end of this book, you'll be ready to build Qt applications that are more efficient, concurrent, and performance-oriented in nature
Table of Contents (14 chapters)

Questions

Here are some questions that will test your understanding of the topics discussed in this chapter:

  1. On what embedded hardware could we use Qt 5.9 and higher?
  2. What's the fuss about fast startup on embedded? My car's digital console starts in no time! Any explanations?
  3. What is an SoC? What is an MCU?
  1. Should we bother about floating-point operations on embedded platforms?
  2. What does the Wayland plugin for embedded Linux do?
  3. What is the worst possible polling interval for 3G mobile radio access?
  4. What would a mobile device most like to do?
  5. What is a tile-based architecture, and why is it widespread on mobile? Why aren't we using it on desktop?
  6. The GPU performance of Raspberry Pi 3 is often (incorrectly) quoted to be 24 GFLOP. What could be the reason for that?